Intermediate
Classroom
Virtual
4 Days

The Machine Learning Pipeline on AWS

Explore how to use the machine learning pipeline to solve a real business problem

AWS Digital Classroom

Get unlimited access to a catalog of classroom training courses, including this one, with an AWS Skill Builder annual subscription. Available with the same content and labs as the live classroom training option, while giving you the flexibility of digital training. You can choose when, how, and where to dive into the integrated topics and solutions covered in this course.

Learn more about AWS Digital Classroom 
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This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations. They will then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem.

What you'll learn

  • Select and justify the appropriate ML approach for a given business problem
  • Use the ML pipeline to solve a specific business problem
  • Train, evaluate, deploy, and tune an ML model in Amazon SageMaker
  • Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS

Who should take this course

  • Developers
  • Solutions architects
  • Data engineers
  • Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker

What experience you'll need

  • Basic knowledge of Python programming language 
  • Basic understanding of AWS Cloud infrastructure (Amazon S3 and Amazon CloudWatch) 
  • Basic experience working in a Jupyter notebook environment

Course overview

Level: Intermediate
Type: Classroom (virtual and in person)
Length: 4 Days

Languages offered

This course is offered in the following languages: Bahasa Indonesia, English, French (France), German, Italian, Japanese, Korean, Portuguese (Brazil), Simplified Chinese, Spanish (Latin America), and Traditional Chinese.
 
We regularly update our courses based on customer feedback and AWS service updates. As a result, course content may vary between languages while we localize these updates.

Need more information?

Download the course outline for more information about what this course covers.

Looking for private training for your team?

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Thinking about taking an exam?

Find a related exam to reinforce your learning.

AWS Certified Machine Learning – Specialty

Exam
180 minutes